realme RMX3888 vs realme RMX3888
| realme RMX3888 | realme RMX3888 | Difference | |
|---|---|---|---|
| Single Precision | 263 | 263 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Half Precision | 19800 | 19800 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Quantized | 47532 | 47532 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Geekbench AI 1.2.0 | Geekbench AI 1.2.0 | ||
System Information
| realme RMX3888 | realme RMX3888 | |
|---|---|---|
| AI Framework | TensorFlow Lite | TensorFlow Lite |
| AI Backend | QNN | QNN |
| AI Device | ARM ARMv8 | ARM ARMv8 |
| Operating System | Android 15 | Android 15 |
| Model | realme RMX3888 | realme RMX3888 |
| Processor |
ARM ARMv8 @ 2.26 GHz
1 Processor, 8 Cores |
ARM ARMv8 @ 2.26 GHz
1 Processor, 8 Cores |
| Processor ID | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Motherboard | pineapple | pineapple |
| Memory | 14.90 GB | 14.90 GB |
AI Performance
| realme RMX3888 | realme RMX3888 | Difference | |
|---|---|---|---|
| Image Classification (SP) | 146 | 146 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Image Classification (HP) | 14853 | 14853 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Image Classification (Q) | 34858 | 34858 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Image Segmentation (SP) | 195 | 195 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Image Segmentation (HP) | 10229 | 10229 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Image Segmentation (Q) | 29136 | 29136 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Pose Estimation (SP) | 261 | 261 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Pose Estimation (HP) | 75386 | 75386 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Pose Estimation (Q) | 393419 | 393419 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Object Detection (SP) | 144 | 144 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Object Detection (HP) | 13579 | 13579 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Object Detection (Q) | 18421 | 18421 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Face Detection (SP) | 431 | 431 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Face Detection (HP) | 29606 | 29606 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Face Detection (Q) | 102118 | 102118 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Depth Estimation (SP) | 342 | 342 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Depth Estimation (HP) | 57159 | 57159 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Depth Estimation (Q) | 111157 | 111157 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Style Transfer (SP) | 609 | 609 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Style Transfer (HP) | 81543 | 81543 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Style Transfer (Q) | 418408 | 418408 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Image Super-Resolution (SP) | 239 | 239 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Image Super-Resolution (HP) | 39118 | 39118 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Image Super-Resolution (Q) | 103398 | 103398 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Text Classification (SP) | 198 | 198 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Text Classification (HP) | 3187 | 3187 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Text Classification (Q) | 6700 | 6700 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Machine Translation (SP) | 357 | 357 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Machine Translation (HP) | 3462 | 3462 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Machine Translation (Q) | 2431 | 2431 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
